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CIKM
2009
Springer

Networks, communities and kronecker products

10 years 6 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understanding of the structure of such large social and information networks. Here I present our work on clustering and community structure in large networks, where clusters are thought of as sets of nodes that are better connected internally than to the rest of the network. We find that large networks have very different clustering structure from well studied small social networks and graphs that are well-embeddable in a low-dimensional structure. In networks of millions of nodes tight clusters exist at only very small size scales up to around 100 nodes, while at large size scales networks becomes expander like. A network model based on Kronecker products efficiently models such core-periphery network structures. The results suggest broader implications for data analysis and machine learning in sparse and noisy high-d...
Jure Leskovec
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIKM
Authors Jure Leskovec
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